We are seeking a driven and detail-oriented Quantitative Research Analyst to join our dynamic trading team based in Hong Kong. This role offers an excellent opportunity for professionals with a blend of analytical rigour, programming skills, and a passion for solving complex problems in a high-frequency trading environment. The position involves collaborating closely with traders and developers to support and enhance the firm's quantitative research capabilities and live trading strategies. The ideal candidate will be instrumental in designing and implementing a cutting-edge, low latency trading platform, as well as improving systems that underpin large-scale data analysis and machine learning applications.
You will be responsible for building and maintaining systems for tick-by-tick backtesting, constructing tools to analyse historical market data, and creating interfaces and tools to streamline the research process. This will involve developing robust and scalable solutions for handling large datasets, optimising computational performance, and increasing the efficiency of research pipelines. The role requires comfort with working independently as well as contributing to a collaborative team environment, while maintaining a clear focus on quality and performance in a fast-paced setting.
Applicants should have 1–5 years of practical experience with C++, and 1–2 years of meaningful experience with Python coding. A strong background in data structures, algorithms, and object-oriented design is essential, alongside proven academic excellence. Solid familiarity with Linux and some experience working with SQL databases are required. Candidates must have a meticulous approach to problem-solving and an eagerness to innovate from the ground up. The ability to manage multiple priorities under tight deadlines, while making independent decisions and contributing to larger team goals, is vital.
Strong communication skills in English are necessary to effectively collaborate and present ideas in a business context. A self-starter attitude, a passion for uncovering insights from data, and a commitment to continuously improving both tools and trading systems are key qualities for success in this role.